Atlassian 与 OpenAI 正在扩大合作，将 GPT‑6 系列的前沿模型引入 Atlassian 平台，以驱动 AI 体验，帮助团队规划、构建和交付工作。两家公司能力的结合将为共同客户提供更多使用 Atlassian 产品和 OpenAI 的方式。
根据一项新协议，OpenAI 前沿模型将为 Atlassian 平台和 Rovo 中的智能体提供支持。Rovo 将 OpenAI 的智能与 Atlassian 的 Teamwork Graph 相结合，后者是一个企业上下文层，连接人员、项目、文档和决策，使 AI 能够深入理解公司运作方式。
此次扩大的合作建立在 2023 年开始的协作基础上，正值 Atlassian 扩大自身对 Codex 和 ChatGPT Enterprise 的采用。超过 3,000 名 Atlassian 开发人员在其终端、IDE 和代码审查工作流中使用 Codex。通过由 Teamwork Graph 提供支持的 Atlassian 插件，Codex 用户可以访问相关工作项和技术文档，帮助开发人员编写、测试和交付软件。
该协议使 Atlassian 能够更广泛地访问最新的 OpenAI 前沿模型，包括 GPT‑6 Astra 和 GPT‑5.6 系列，同时 OpenAI 继续推进模型能力、效率和性价比。
随着合作关系的发展，OpenAI 将继续依赖 Jira 来帮助管理公司范围内的关键工作流。两家公司共同的目标是将前沿智能引入企业已经使用的工具中，使 AI 智能体成为团队完成工作的自然组成部分。
将 OpenAI 模型与企业知识连接起来
通过 OpenAI API，Atlassian 可以在模型进步时直接将新的推理能力引入 Rovo，让客户在他们已经使用的工具中访问能力日益增强的 AI。
例如，一位准备发布的产品经理可以询问 Rovo 团队是否按计划推进。借助 Teamwork Graph，Rovo 可以连接 Jira 工单、Confluence 文档和相关讨论，以识别工程阻碍、标记错过的里程碑，并呈现需要关注的决策。OpenAI 模型帮助将这些信息转化为对发布准备情况的清晰评估和推荐的后续步骤，使团队减少拼凑信息的时间，将更多时间用于推进工作。
该合作还延伸到 Atlassian 自身产品之外。通过面向 ChatGPT 和 Codex 的 Atlassian 和 Teamwork Graph CLI 插件，客户可以将 ChatGPT 和 Codex 连接到其现有工作流，使 AI 在适当权限下访问相关项目信息、文档和开发上下文。
最近，Atlassian 推出了其插件扩展（在新窗口中打开），将 Jira 工作项、Confluence 内容和人员直接引入 ChatGPT 和 Codex 提示中。其固定的 Atlassian Home 还会呈现已分配工作、最近的 Looms、项目和 Bitbucket 拉取请求，帮助团队访问相关上下文并采取行动。
迈向下一代 AI 驱动的团队协作
两家公司正在探索与 Jira 的更深度集成，使团队更容易将工作分配给 AI 智能体、跟踪进度、记录决策并审查结果。结合 DX——Atlassian 用于衡量开发人员生产力和工程绩效的平台——这些能力可以帮助工程领导者衡量 AI 对开发速度、周期时间和开发人员体验的影响，同时让人类保持控制。
Atlassian and OpenAI are expanding their partnership, bringing frontier models in the GPT‑6 family across Atlassian’s platform to power AI experiences that help teams plan, build, and deliver work. The combination of both companies’ capabilities will give joint customers more ways to work with Atlassian products and OpenAI.
Under a new agreement, OpenAI frontier models will power agents across Atlassian’s platform and Rovo. Rovo combines OpenAI intelligence with Atlassian’s Teamwork Graph, an enterprise context layer that connects people, projects, documents, and decisions, giving AI a deep understanding of how a company works.
The expanded partnership builds on a collaboration that began in 2023 and arrives as Atlassian broadens its own adoption of Codex and ChatGPT Enterprise. More than 3,000 Atlassian developers use Codex across their terminals, IDEs, and code review workflows. Through Atlassian plugins powered by the Teamwork Graph, Codex users can access relevant work items and technical documentation, helping developers write, test, and ship software.
The agreement gives Atlassian expanded access to the latest OpenAI frontier models, including GPT‑6 Astra and the GPT‑5.6 series, as OpenAI continues to advance model capabilities, efficiency, and price-performance.
As the partnership grows, OpenAI will continue to rely on Jira to help manage critical workflows across the company. Together, the companies aim to bring frontier intelligence into the tools businesses already use, making AI agents a natural part of how teams get work done.
Connecting OpenAI models with enterprise knowledge
Through OpenAI APIs, Atlassian can bring new reasoning capabilities directly into Rovo as models advance, giving customers access to increasingly capable AI within the tools they already use.
For example, a product manager preparing for a launch could ask Rovo whether the team is on track. Drawing on the Teamwork Graph, Rovo can connect Jira tickets, Confluence documents, and relevant discussions to identify engineering blockers, flag missed milestones, and surface decisions that need attention. OpenAI models help turn that information into a clear assessment of launch readiness and recommended next steps, so teams spend less time piecing together information and more time moving work forward.
The collaboration also extends beyond Atlassian’s own products. Through the Atlassian and Teamwork Graph CLI plugins for ChatGPT and Codex, customers can connect ChatGPT and Codex to their existing workflows, giving AI access to relevant project information, documentation, and development context, subject to appropriate permissions.
More recently, Atlassian launched its plugin extension(opens in a new window) that brings Jira work items, Confluence content, and people directly into ChatGPT and Codex prompts. Its pinned Atlassian Home also surfaced assigned work, recent Looms, projects, and Bitbucket pull requests, helping teams access relevant context and take action.
Building toward the next generation of AI-powered teamwork
The companies are exploring deeper integrations with Jira that would make it easier for teams to assign work to AI agents, track progress, capture decisions, and review results. Paired with DX, Atlassian’s platform for measuring developer productivity and engineering performance, these capabilities could help engineering leaders measure AI’s impact on development speed, cycle time, and developer experience while keeping humans in control.
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